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Found 4 papers, 4 papers with code
Multitask Learning and Multistage Fusion for Dimensional Audiovisual Emotion Recognition
A multistage method, employed at the late fusion approach, significantly improved the agreement score between true and pre- dictated values on the development set of data (from [0. 537, 0. 565, 0. 083] to [0. 68, 0. 656, 0. 443]) for arousal, valence, and liking.
Deep Multilayer Perceptrons for Dimensional Speech Emotion Recognition
Modern deep learning architectures are ordinarily performed on high-performance computing facilities due to the large size of the input features and complexity of its model.
On The Differences Between Song and Speech Emotion Recognition: Effect of Feature Sets, Feature Types, and Classifiers
In this paper, we evaluate the different features sets, feature types, and classifiers on both song and speech emotion recognition.
Evaluation of Error and Correlation-Based Loss Functions For Multitask Learning Dimensional Speech Emotion Recognition
The choice of a loss function is a critical part in machine learning.
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